IEEE

MEScan360: A Memory-Enhanced Scanpath Prediction Model for Omnidirectional Images

Abstract: Scanpath prediction for omnidirectional images (ODIs) aims to capture the dynamic human visual attention. However, the complicated gaze behavior and inevitable projection distortion make ...
IEEE

HSI-MFormer: Integrating Mamba and Transformer Experts for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification is fundamental to numerous remote sensing applications, enabling detailed analysis of material properties and environmental conditions. Recent Mamba ...
Frontiers

Critical considerations for the use of deep learning models in clinical oncology prediction

In a recent study on clinical prediction models, Liu (1) and colleagues developed a deep learning model to predict ALN pCR in ALN-positive breast cancer patients undergoing NAT by analyzing ...
Geeky Gadgets

Build a Safer OpenClaw Alternative AI Assistant Using Claude Code

Building a safer alternative to OpenClaw using Claude Code addresses significant security concerns while preserving the core functionality of an AI assistant. OpenClaw is recognized for its automation ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
Hosted on MSN

Python version of Faraday’s law explained electrodynamics part 1

Dive into Faraday’s Law of Electromagnetic Induction with a practical Python implementation in this first part of our Electrodynamics series. Learn how to simulate and visualize changing magnetic ...